{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Matplotlib图鉴——基础柱状图\n",
    "\n",
    "## 公众号：可视化图鉴"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "3.0.2\n",
      "0.23.4\n",
      "1.15.4\n"
     ]
    }
   ],
   "source": [
    "import matplotlib\n",
    "print(matplotlib.__version__) #查看Matplotlib版本\n",
    "import pandas as pd\n",
    "print(pd.__version__) #查看pandas版本\n",
    "import numpy as np\n",
    "print(np.__version__) #查看numpy版本\n",
    "import matplotlib.pyplot as plt \n",
    "plt.rcParams['font.sans-serif'] = ['SimHei']  #设置中文"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<BarContainer object of 7 artists>"
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "x = ['周一', '周二', '周三', '周四', '周五', '周六', '周日']\n",
    "y1 = [7,6,5,4,3,2,1]\n",
    "y2 = [1,2,3,3,1,1,0.5]\n",
    "\n",
    "plt.figure(figsize=(10,7))#设置画布的尺寸\n",
    "\n",
    "plt.bar(x, y1, label=\"系列1\",edgecolor = 'black')\n",
    "plt.bar(x, y2, label=\"系列2\",edgecolor = 'black')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "注意，代码在以下环境全部通过测试:\n",
    "- Python 3.7.1\n",
    "- Matplotlib == 3.0.2\n",
    "- pandas == 0.23.4\n",
    "- numpy == 1.15.4\n",
    "\n",
    "因版本不同，可能会有部分语法差异，如有报错，请先检查拼写及版本是否一致！"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 基础柱状图——堆叠柱状图"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 218,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x504 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "x = ['周一', '周二', '周三', '周四', '周五', '周六', '周日']\n",
    "y1 = [7,6,5,4,3,2,1]\n",
    "y2 = [1,2,3,3,1,1,0.5]\n",
    "\n",
    "plt.figure(figsize=(10,7))#设置画布的尺寸\n",
    "\n",
    "plt.bar(x, y1, label=\"系列1\",edgecolor = 'black')\n",
    "plt.bar(x, y2, label=\"系列2\",edgecolor = 'black')\n",
    "\n",
    "plt.legend(loc=1,fontsize=14)  # 设置图例位置\n",
    "plt.ylabel('我是Y轴',fontsize=16)\n",
    "plt.xlabel('我是X轴',fontsize=16)\n",
    "plt.title(\"基础柱状图——堆叠柱状图\",fontsize=18)\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 水平堆叠柱状图\n",
    "\n",
    "使用`plt.barh`使用方法类比`MA_A_01`基础柱状图"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 182,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x504 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "x = ['周一', '周二', '周三', '周四', '周五', '周六', '周日']\n",
    "y1 = [7,6,5,4,3,2,1]\n",
    "y2 = [1,2,3,3,1,1,0.5]\n",
    "\n",
    "plt.figure(figsize=(10,7))#设置画布的尺寸\n",
    "\n",
    "plt.barh(x, y1, label=\"系列1\",edgecolor = 'black')\n",
    "plt.barh(x, y2, label=\"系列2\",edgecolor = 'black')\n",
    "\n",
    "plt.legend(loc=1,fontsize=14)  # 设置图例位置\n",
    "plt.ylabel('我是Y轴',fontsize=14)\n",
    "plt.xlabel('我是X轴',fontsize=14)\n",
    "plt.title(\"基础柱状图——堆叠柱状图\",fontsize=18)\n",
    "\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 堆叠柱状图——添加百分比"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 217,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x504 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "x = ['周一', '周二', '周三', '周四', '周五', '周六', '周日']\n",
    "y1 = [7,6,5,4,3,2,1]\n",
    "y2 = [1,2,3,3,1,1,0.5]\n",
    "\n",
    "plt.figure(figsize=(10,7))#设置画布的尺寸\n",
    "\n",
    "plt.bar(x, y1, label=\"系列1\",edgecolor = 'black')\n",
    "plt.bar(x, y2, label=\"系列2\",edgecolor = 'black')\n",
    "\n",
    "plt.legend(loc=1,fontsize=14)  # 设置图例位置\n",
    "plt.ylabel('我是Y轴',fontsize=16)\n",
    "plt.xlabel('我是X轴',fontsize=16)\n",
    "plt.title(\"基础柱状图——堆叠柱状图\",fontsize=18)\n",
    "\n",
    "for x1, y1, y2 in zip(x, y1, y2):\n",
    "\n",
    "    p1 = y1/(y1+y2)\n",
    "    p2 = y2/(y1+y2)\n",
    "\n",
    "    plt.text(x1 , y2 + (y1 - y2)* 0.4, '{:.0%}'.format(p1), ha='center',fontsize = 15)\n",
    "    plt.text(x1 , y2 * 0.4, '{:.0%}'.format(p2), ha='center',fontsize = 15)\n",
    "\n",
    "plt.show()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.1"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
